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This repository contains the official code for the paper "Enhancing Robustness in Incremental Learning with Adversarial Training" (AAAI 2025).
This includes the slides related to coursera Machine Learning Specialization by Andrew Ng.
The project provides a Tailor-made travel itinerary for users using their travel details like destination, budget, start and end dates of travel and their preferences of attraction categories, hote…
Starter pack for NeurIPS LLM Efficiency Challenge 2023.
Code for the Evidential Conditional Neural Processes
A playbook for systematically maximizing the performance of deep learning models.
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
Resources and blogs, curated for learning, computer science, mathematics, data science, computer vision, natural language processing, and machine learning. Pull requests and feedbacks are heartly w…
Deep Learning for Time Series Classification
A beautiful, simple, clean, and responsive Jekyll theme for academics
Efficiently computes derivatives of NumPy code.
Top-level directory for documentation and general content
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Sparsity-aware deep learning inference runtime for CPUs
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
PyTorch implementation of adversarial attacks [torchattacks]
💯 Curated coding interview preparation materials for busy software engineers
My notes and solutions/code on Data Structures and Algorithms.
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
This repository contains recent research on uncertainty estimation. Inspired from other 'awesome' github pages like awesome-deep-learning.
Basic VAE flow using pytorch distributions
Implementation of Deep evidential regression paper
Deep Latent Gamma Model / Gamma VAE
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库